Part-Time Student - Data Science and Analytics - Austin, TX or Urbandale, IA

Summary

John Deere is focused on addressing global challenges related to food and infrastructure. They are seeking a Part-Time Student in Data Science and Analytics to support analytics projects, utilize data analysis techniques, and collaborate with teams to deliver data-driven solutions.

Responsibilities

• Lead and/or support key analytics projects as a part of John Deere’s Intelligent Solutions Group
• Utilize analytics techniques to clean, preprocess, explore, and analyze data sets and extract actionable insights for advanced sensing projects
• Collaborate in a fun, friendly, and fast-paced team environment across disciplines and with key stakeholders to deliver data-driven solutions for the business
• Present your findings in meetings and translate your results into reports and presentations

Skills

• Pursuing a Bachelor's, Master's, or PhD Degree in Agriculture, Computer Science, Data Analytics, Data Science, Engineering, Math, Statistics, or a related quantitative field; others may apply
• Must be registered as a full-time student at a U.S. accredited college/university
• Graduation date of December 2027 or later
• Cumulative GPA of 3.0 or above
• Available to work during the academic year 16-20 hours/weekly during the business hours of 6 AM to 6 PM
• Available to work during the summer semester 32-40 hours/weekly during the business hours of 6 AM to 6 PM
• Proficient with Python and SQL
• Knowledge of applied operations research/machine learning/deep learning techniques
• Ability to work with structured/unstructured data
• Knowledge of working with AI tools for coding
• Knowledge of Gurobi, GitHub, VSCode, Databricks
• Committed to working in an Agile environment
• Must be able to commute to the work location in Austin, TX or Urbandale IA on a regular basis
• Domain knowledge in Crop Science, Soil Science, or Agronomics
• Applied knowledge of OR algorithms
• Pursuing a PHD in Industrial Engineering/Operation Research, Computer Science, Data Science

Qualifications

Must Haves

• Pursuing a Bachelor's, Master's, or PhD Degree in Agriculture, Computer Science, Data Analytics, Data Science, Engineering, Math, Statistics, or a related quantitative field; others may apply
• Must be registered as a full-time student at a U.S. accredited college/university
• Graduation date of December 2027 or later
• Cumulative GPA of 3.0 or above
• Available to work during the academic year 16-20 hours/weekly during the business hours of 6 AM to 6 PM
• Available to work during the summer semester 32-40 hours/weekly during the business hours of 6 AM to 6 PM
• Proficient with Python and SQL
• Knowledge of applied operations research/machine learning/deep learning techniques
• Ability to work with structured/unstructured data
• Knowledge of working with AI tools for coding
• Knowledge of Gurobi, GitHub, VSCode, Databricks
• Committed to working in an Agile environment
• Must be able to commute to the work location in Austin, TX or Urbandale IA on a regular basis

Nice to Haves

• Domain knowledge in Crop Science, Soil Science, or Agronomics
• Applied knowledge of OR algorithms
• Pursuing a PHD in Industrial Engineering/Operation Research, Computer Science, Data Science

Benefits

• Flexible work arrangements
• Highly competitive base pay
• Savings & Retirement benefits (401K and Defined Benefit Pension)
• Healthcare benefits with a generous company contribution in the Health Savings Account
• Adoption assistance
• Employee Assistance Programs
• Tuition assistance
• Fitness subsidies and on-site gyms at specific Deere locations
• Charitable contribution match
• Employee Purchase Plan & numerous discount programs for personal use
• Vacation and Holiday Pay